Difference between revisions of "Publications:Fuzzy combination schemes for modular neural networks"
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| − | |Name=Signahl, Mikael;Verikas, Antanas | + | |Name=Signahl, Mikael (miksigx) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938));Verikas, Antanas (av) (0000-0003-2185-8973) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938)) |
|Title=Fuzzy combination schemes for modular neural networks | |Title=Fuzzy combination schemes for modular neural networks | ||
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Latest revision as of 22:39, 30 September 2016
| Title | Fuzzy combination schemes for modular neural networks |
|---|---|
| Author | Mikael Signahl and Antanas Verikas |
| Year | 1997 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | SCIA '97, the 10th Scandinavian conference on image analysis : proceedings |
| Conference | the 10th Scandinavian Conference on Image Analysis, Lappeenranta, Finland, June 9-11, 1997 |
| DOI | |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:544722 |
| Abstract | In this paper, we discuss some new methods for combining different outputs from several feed forward neural networks into a final output. We generalize the BADD defuzzification method (G-BADD) to obtain substantial improvement in system output. It is compared with the ordinary BADD-, Sugeno- and the MOM-methods. The use of the fuzzy integral, as a selection tool when deciding which networks are to be used in the combination, is introduced. |
